Senior Data Engineer

MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment. Why does MWDN rock?: Here’s what you can expect when you join MWDN: Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments—no fraud or unpleasant surprises.Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.Professional development: We offer English courses and professional growth opportunities, as well as team-building events. Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU. What is your new project?: Domain: Data Infrastructure & Analytics / AdTech Client Location: Israel Company size: 11–50 Founded in: 2025 A fast‑growing ad‑tech company building next‑generation programmatic advertising infrastructure. The team focuses on high‑performance systems, real‑time bidding, and AI‑driven optimization. The environment is fast, product‑focused, and highly collaborative, with strong engineering leadership and a culture of ownership. What makes this project exciting?: We're looking for a Senior Data Engineer to join our engineering team and help shape the future of programmatic advertising. You'll architect and build high‑performance systems that process millions of ad transactions in real time, while leveraging cutting‑edge AI technologies to optimize outcomes for our partners. This role sits at the intersection of ad‑tech and AI, working with massive‑scale systems and sub‑millisecond latency requirements. You’ll own the full development lifecycle from architecture to deployment, collaborating with a modern, high‑performing engineering team. What Makes You a Great Fit 5+ years of professional data engineering experience2+ years working with programmatic advertising or ad-tech dataStrong proficiency in Python and SQLExperience with streaming data platforms (Kafka, Kinesis, Pub/Sub)Hands-on experience with data warehouses (BigQuery, Snowflake, Redshift, ClickHouse)Experience with batch processing frameworks (Spark, dbt, Airflow)Understanding of ad-tech data structures: bid requests, impressions, OpenRTB schemas, log-level dataExperience with cloud platforms (AWS, GCP) and infrastructure-as-code Ad-Tech Stack Data Sources (Familiarity Required): SSP reporting APIs and log-level data (Magnite, PubMatic, Index Exchange, Xandr)Google Ad Manager (GAM) reporting, Data Transfer files, and BigQuery exportsPrebid Analytics adapters and bid stream dataMobile measurement platforms (AppsFlyer, Adjust, Kochava) for app monetization dataReal-time bidding (RTB) log files and auction data Data Models & Metrics Revenue metrics: CPM, eCPM, RPM, fill rate, win rate, bid densityAuction analytics: bid landscape, floor optimization, timeout analysisDemand partner performance: SSP/bidder scoring, latency analysisSupply chain data: ads.txt validation, sellers.json mapping, SPO analysis Nice to Have Experience with ML feature engineering for bid optimization or yield predictionBackground in building data products for publisher-side monetizationFamiliarity with privacy-preserving data techniques (differential privacy, clean rooms)Experience with CTV/OTT advertising data and video ad metricsKnowledge of identity resolution and cross-device data challenges Your Day-to-day In This Position Design and build scalable data pipelines for processing bid stream, impression, and revenue data from programmatic sourcesIngest and normalize data from multiple SSPs, DSPs, ad servers (GAM), and third-party reporting APIsBuild real-time and batch processing systems for auction analytics, win rate analysis, and bid landscape modelingDevelop ETL/ELT workflows to transform raw programmatic data into analytics-read datasetsCreate data models for yield optimization, floor price analysis, and demand partner performanceBuild and maintain data warehouses and lakes optimized for ad-tech query patternsImplement data quality monitoring, validation, and anomaly detection for programmatic data streamsSupport BI and analytics teams with clean, documented, and performant data infrastructureEnsure data privacy compliance (GDPR, CCPA) in data collection, storage, and processing Why work with us?: People-first management with minimal bureaucracyA friendly company culture, proven by employees who choose to returnFlexible working hours29 days of PTO (18 working days per year pluse all national holidays)10 paid sick daysFull financial and legal support for independent contractorsFree English classes, with native speakers or Ukrainian teachersDedicated HR support Our Next Steps ✅ Intro call with a Recruiter — ✅ Tech interview — ✅ Home assignment — ✅ Final client interview— ✅ Offer